12.
What influence
does she have
with her family
and friends?
How
connected
is she?
What will she
do with this
merchandise?
Any additional
services?
Big Interaction Data
Achieve a complete view with social and interaction data
Turn insights on
relationships, influences and
behaviors Into opportunities
?
Connectivity to Big Interaction
Data including social data
Databases
Call Detailed Records,
Image Files, RFIDs
External Data
Providers
Applications Customer Product …
Informatica MDM

17.
Mixed Workload Management
Informatica with Hadoop Features
Hadoop is not able to manage mixed
workloads according to user service-level
agreements (SLAs).
Informatica enables integration of data sets
from Hadoop and other transaction sources
to do real-time business intelligence and
analytics as events unfold.
Combine flexibility with
high data processing
power
Manage mixed workloads
and concurrency with
high throughput

18.
Resource Optimization and Reuse
Interoperability With Rest of Architecture
Informatica with Hadoop Features
Informatica PowerExchange for
Hadoop with PowerCenter
RDBMSRDBMS
Informatica supports the
addition of Hadoop as
part of an end-to-end
analytics and data
processing cycle that
helps bridge the gap
between Hadoop and
your existing IT
investment.

20.
Social Media
Every minute, Facebook, Twitter and
other online communities generate
enormous amounts of social media
data. If it could be tapped, it could
function like a real-time CRM
system, continually revealing new
trends and opportunities.
400 m Tweets/
day
500 m
Statuses/ day

21.
Billions of social media messages
Extract insights to support CRM and marketing
Monitor reputation and perception
Business Challenges

22.
Combine social data with other data sources, relational as well as
unstructured, both on premise and in the cloud
Informatica Solution for Social Media
Transformation
OLAPOLTP
PowerCenterReal-timeEdition
PowerExchange
For Hadoop
Gets Data

25.
The Next Level of CRM and Marketing: social media data will enable
marketers to take their customer relationships to the next level
Powering CRM with Social Media Data: with Informatica Platform, it
becomes possible to create a single, reliable view of the customer
profile, and enrich it with data from social media interactions to gain
insights
Customer Sentiment Analysis: enables businesses to understand
customer experience and ideates ways to enhance customer
satisfaction
ROI

35.
Twitter Search Examples
twitter search containing both "twitter" and "search". This is the default operator
"happy hour" containing the exact phrase "happy hour"
love OR hate containing either "love" or "hate" (or both)
beer -root containing "beer" but not "root"
#haiku containing the hashtag "haiku"
from:twitterapi sent from the user @twitterapi
to:twitterapi sent to the user @twitterapi
place:opentable:2 about the place with OpenTable ID 2
place:247f43d441defc03 about the place with Twitter ID 247f43d441defc03
@twitterapi mentioning @twitterapi
superhero since:2011-05-09 containing "superhero" and sent since date "2011-05-09" (year-month-day).
twitterapi until:2011-05-09 containing "twitterapi" and sent before the date "2011-05-09".
movie -scary :) containing "movie", but not "scary", and with a positive attitude.
flight :( containing "flight" and with a negative attitude.
traffic ? containing "traffic" and asking a question.
hilarious filter:links containing "hilarious" and with a URL.
news source:tweet_button containing "news" and entered via the Tweet Button
For complete and up-to-date details on search combinations, refer to http://dev.twitter.com/pages/using_search and
http://dev.twitter.com/doc/get/search

37.
LinkedIn Search Parameters
For complete and up-to-date details on search combinations, refer to http://developer.linkedin.com/docs/DOC-1191
Parameter Definition
keywords Members who have all the keywords anywhere in their profile, including name. Use this field if you have a name that you don't know how to accurately split into a first
and last name, such as Mao Ze Dong or Jennifer Love Hewitt.
first-name Members with a matching first name. Matches must be exact. Multiple words should be separated by a space.
last-name Members with a matching last name. Matches must be exactly. Multiple words should be separated by a space.
company-name Members who have a matching company name on their profile. company-name can be combined with the current-company parameter to specifies whether the person
is or is not still working at the company.
current-companyValid values are true or false. A value of true matches members who currently work at the company specified in the company-name parameter. A value of false matches
members who once worked at the company. Omitting the parameter matches members who currently or once worked the company.
title Matches members with that title on their profile. Works with the current-title parameter.
current-title Valid values are true or false. A value of true matches members whose title is currently the one specified in the title-name parameter. A value of false matches members
who once had that title. Omitting the parameter matches members who currently or once had that title.
school-name Members who have a matching school name on their profile. school-name can be combined with the current-school parameter to specifies whether the person is or is
not still at the school.
It's often valuable to not be too specific with the school name. The same explation provided with company name applies: "Yale" vs. "Yale University".
current-school Valid values are true or false. A value of true matches members who currently attend the school specified in the school-name parameter. A value of false matches
members who once attended the school. Omitting the parameter matches members who currently or once attended the school.
country-code Matches members with a location in a specific country. Values are defined in by ISO 3166standard. Country codes must be in all lower case.
postal-code Matches members centered around a Postal Code. Must be combined with the country-codeparameter. Not supported for all countries.
distance Matches members within a distance from a central point. This is measured in miles. This is best used in combination with both country-code and postal-code.
facet Facet values to search over. Full information is below.
facets Facet buckets to return. Full information is below.
start Start location within the result set for paginated returns. This is the zero-based ordinal number of the search return, not the number of the page. To see the second
page of 10 results per page, specify 10, not 1. Ranges are specified with a starting index and a number of results (count) to return.
count The number of profiles to return. Values can range between 0 and 25. The default value is 10. The total results available to any user depends on their account level.
sort Controls the search result order. There are four options:
•connections: Number of connections per person, from largest to smallest.
•recommenders: Number of recommendations per person, from largest to smallest.
•distance: Degree of separation within the member's network, from first degree, then second degree, and then all others mixed together, including third degree and
out-of-network.
•relevance: Relevance of results based on the query, from most to least relevant.
By default, results are ordered by the number of connections.